SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes

11/14/2022
by   Jie Wang, et al.
0

The SportsMOT competition aims to solve multiple object tracking of athletes in different sports scenes such as basketball or soccer. The competition is challenging because of the unstable camera view, athletes' complex trajectory, and complicated background. Previous MOT methods can not match enough high-quality tracks of athletes. To pursue higher performance of MOT in sports scenes, we introduce an innovative tracker named SportsTrack, we utilize tracking by detection as our detection paradigm. Then we will introduce a three-stage matching process to solve the motion blur and body overlapping in sports scenes. Meanwhile, we present another innovation point: one-to-many correspondence between detection bboxes and crowded tracks to handle the overlap of athletes' bodies during sports competitions. Compared to other trackers such as BOT-SORT and ByteTrack, We carefully restored edge-lost tracks that were ignored by other trackers. Finally, we reached the top 1 tracking score (76.264 HOTA) in the ECCV 2022 DeepAction SportsMOT competition.

READ FULL TEXT

page 1

page 2

page 3

research
09/01/2019

Multiple Object Tracking with Motion and Appearance Cues

Due to better video quality and higher frame rate, the performance of mu...
research
02/15/2023

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes

Cross-view multi-object tracking aims to link objects between frames and...
research
06/28/2020

1st Place Solutions for Waymo Open Dataset Challenges – 2D and 3D Tracking

This technical report presents the online and real-time 2D and 3D multi-...
research
12/15/2021

Reliable Multi-Object Tracking in the Presence of Unreliable Detections

Recent multi-object tracking (MOT) systems have leveraged highly accurat...
research
05/15/2019

Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection

In this paper, we propose to combine detections from background subtract...
research
10/13/2021

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Multi-object tracking (MOT) aims at estimating bounding boxes and identi...
research
08/04/2020

Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping

We hypothesize that an agent that can look around in static scenes can l...

Please sign up or login with your details

Forgot password? Click here to reset